


"""simple docstring"""



from collections.abc import Sequence
from queue import Queue







class    __a						:







				def __init__( self      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase=None      ,	UpperCAmelCase=None   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			start
					lowerCAmelCase_      							=			end
					lowerCAmelCase_      							=			val
					lowerCAmelCase_      							=			(start + end) // 2
					lowerCAmelCase_      							=			left
					lowerCAmelCase_      							=			right







				def __repr__( self   ):

					'''simple docstring'''






					return F"""SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"""







class    __a						:







				def __init__( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			collection
					lowerCAmelCase_      							=			function
					if self.collection:
						lowerCAmelCase_      							=			self._build_tree(0      ,	len(UpperCAmelCase   ) - 1   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					self._update_tree(self.root      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					return self._query_range(self.root      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if start == end:
						return SegmentTreeNode(UpperCAmelCase      ,	UpperCAmelCase      ,	self.collection[start]   )
					lowerCAmelCase_      							=			(start + end) // 2
					lowerCAmelCase_      							=			self._build_tree(UpperCAmelCase      ,	UpperCAmelCase   )
					lowerCAmelCase_      							=			self._build_tree(mid + 1      ,	UpperCAmelCase   )
					return SegmentTreeNode(UpperCAmelCase      ,	UpperCAmelCase      ,	self.fn(left.val      ,	right.val   )      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if node.start == i and node.end == i:
						lowerCAmelCase_      							=			val
						return
					if i <= node.mid:
						self._update_tree(node.left      ,	UpperCAmelCase      ,	UpperCAmelCase   )
					else:
						self._update_tree(node.right      ,	UpperCAmelCase      ,	UpperCAmelCase   )
					lowerCAmelCase_      							=			self.fn(node.left.val      ,	node.right.val   )







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase      ,	UpperCAmelCase   ):

					'''simple docstring'''






					if node.start == i and node.end == j:
						return node.val

					if i <= node.mid:
						if j <= node.mid:
							# range in left child tree
							return self._query_range(node.left      ,	UpperCAmelCase      ,	UpperCAmelCase   )
						else:
							# range in left child tree and right child tree
							return self.fn(
							    self._query_range(node.left      ,	UpperCAmelCase      ,	node.mid   )      ,	self._query_range(node.right      ,	node.mid + 1      ,	UpperCAmelCase   )      ,	)
					else:
						# range in right child tree
						return self._query_range(node.right      ,	UpperCAmelCase      ,	UpperCAmelCase   )







				def      lowerCamelCase_     ( self   ):

					'''simple docstring'''






					if self.root is not None:
						lowerCAmelCase_      							=			Queue()
						queue.put(self.root   )
						while not queue.empty():
							lowerCAmelCase_      							=			queue.get()
							yield node

							if node.left is not None:
								queue.put(node.left   )

							if node.right is not None:
								queue.put(node.right   )


if __name__ == "__main__":
		import operator

		for fn in [operator.add, max, min]:
				print('*' * 50)
				lowercase_							=							SegmentTree([2, 1, 5, 3, 4], fn)
				for node in arr.traverse():
						print(node)
				print()

				arr.update(1, 5)
				for node in arr.traverse():
						print(node)
				print()

				print(arr.query_range(3, 4))  # 7
				print(arr.query_range(2, 2))  # 5
				print(arr.query_range(1, 3))  # 13
				print()



"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowercase_							=							{
    'configuration_layoutlmv2': ['LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LayoutLMv2Config'],
    'processing_layoutlmv2': ['LayoutLMv2Processor'],
    'tokenization_layoutlmv2': ['LayoutLMv2Tokenizer'],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							=							['LayoutLMv2TokenizerFast']

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							=							['LayoutLMv2FeatureExtractor']
		lowercase_							=							['LayoutLMv2ImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							=							[
		    'LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'LayoutLMv2ForQuestionAnswering',
		    'LayoutLMv2ForSequenceClassification',
		    'LayoutLMv2ForTokenClassification',
		    'LayoutLMv2Layer',
		    'LayoutLMv2Model',
		    'LayoutLMv2PreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_layoutlmva import LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMvaConfig
		from .processing_layoutlmva import LayoutLMvaProcessor
		from .tokenization_layoutlmva import LayoutLMvaTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor, LayoutLMvaImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_layoutlmva import (
				    LAYOUTLMV2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    LayoutLMvaForQuestionAnswering,
				    LayoutLMvaForSequenceClassification,
				    LayoutLMvaForTokenClassification,
				    LayoutLMvaLayer,
				    LayoutLMvaModel,
				    LayoutLMvaPreTrainedModel,
				)
else:
		import sys

		lowercase_							=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)